Skip to content
Back to the index

Super Resolution Anime Diffusion

huggingface.coUpscaling & restoration

PulseGate's liveness check found it on 14 Sep 2026; it is registered on Hugging Face Spaces and has been in the index since 4 Aug 2026. How this is checked

Super Resolution Anime Diffusion is a specialized tool that uses diffusion-based models to increase the resolution and visual quality of anime images. It supports both text-to-image generation and the enhancement of existing uploaded images. The interface allows parameter tuning to achieve high-quality anime-style results.

Inferred · not functionally tested

FreeWebCLIEmbeddableCloud-managed
Super Resolution Anime Diffusion preview
Visit huggingface.co

Overview

4 features

Purpose: Improving the quality and resolution of low-detail anime artwork and illustrations.

Inferred · not functionally tested

Audience: anime artists and illustrators

Inferred · not functionally tested

Functions: image_generation

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: free · license: Proprietary · platforms: CLI, WEB · deployment: browser, cli, embeddable, cloud_managed

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: huggingface.co. These links do not verify the individual claims.

In the Upscaling & restoration space, Super Resolution Anime Diffusion takes a focused approach. Inferred · not functionally tested: It focuses on improving the quality and resolution of low-detail anime artwork and illustrations. Inferred · not functionally tested: Super Resolution Anime Diffusion is a consumer product aimed at anime artists and illustrators. Basis unknown · not verified: Super Resolution Anime Diffusion is free to use. Basis unknown · not verified: It runs on the web, the command line, and embeddable surfaces.

It is developed by yangheng. Inferred · not functionally tested: Among its 4 catalogued features are Image Upscaling, Anime Enhancement, and text-to-Image.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Image Upscaling
  • Anime Enhancement
  • Text-to-Image
  • Resolution Improvement

Topics: Inferred · not functionally tested

Tags
super-resolutionanime-diffusionimage-upscalinganime-enhancement
AI capabilities
Image
Inference: Cloud APIWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Hosting
AWS
AI providers
local_oss
Runs on
BrowserCLIEmbeddableCloud-managed
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss
huggingface in the HTML

Trust & compliance

Public signals
HTTPSFree tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed4 Aug · 20:18 UTC
    yangheng/Super-Resolution-Anime-Diffusion seen via Hugging Face Enumerator
    Source: Hugging Face Enumerator · Open

Frequently asked questions about Super Resolution Anime Diffusion

What is Super Resolution Anime Diffusion?
Inferred · not functionally tested: Super Resolution Anime Diffusion focuses on improving the quality and resolution of low-detail anime artwork and illustrations. It is catalogued under Upscaling & restoration on PulseGate.
Who is Super Resolution Anime Diffusion for?
Inferred · not functionally tested: Super Resolution Anime Diffusion is a consumer product built for anime artists and illustrators.
Does Super Resolution Anime Diffusion have a free plan?
Basis unknown · not verified: Yes — Super Resolution Anime Diffusion is free to use.
What platforms does Super Resolution Anime Diffusion run on?
Basis unknown · not verified: Super Resolution Anime Diffusion runs on the web, the command line, and embeddable surfaces.
Is Super Resolution Anime Diffusion still active?
PulseGate's liveness check found it on 14 Sep 2026.
Who develops Super Resolution Anime Diffusion?
Super Resolution Anime Diffusion is developed by yangheng.

Similar projects

Closest matches by what these projects do